CN106130974A - A kind of method intercepting notice and terminal - Google Patents
A kind of method intercepting notice and terminal Download PDFInfo
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- CN106130974A CN106130974A CN201610464039.8A CN201610464039A CN106130974A CN 106130974 A CN106130974 A CN 106130974A CN 201610464039 A CN201610464039 A CN 201610464039A CN 106130974 A CN106130974 A CN 106130974A
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- notice
- destination application
- type
- terminal
- application
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
- H04L63/0227—Filtering policies
- H04L63/0245—Filtering by information in the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a kind of method intercepting notice and terminal.Described method includes: when receiving the notice that application program pushes, determine the mark of described notice；The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；When the type of described notice is for harassing and wrecking type, described notice is intercepted.It is hereby understood that by implementing the technical scheme that the present invention provides, it is possible to identify and catching rubbish notice, thus promote Consumer's Experience.
Description
Technical field
The present invention relates to field of terminal, relate to a kind of method intercepting notice and terminal.
Background technology
In recent years, along with the development of terminal (such as smart mobile phone, panel computer etc.) is with universal, terminal is in the daily life of people
Work has become as an indispensable part.
User is commonly installed the work that various application program goes to meet user, the demand lived and entertain.But install
Each application program in terminal often actively pushes various notice to user, if needed for this notice non-user, that
This notice may will become rubbish message, thus reduces Consumer's Experience.
Summary of the invention
Embodiments provide a kind of method intercepting notice and terminal, it is possible to identify and catching rubbish notice, from
And promote Consumer's Experience.
Embodiment of the present invention first aspect discloses a kind of method intercepting notice, and described method includes:
When receiving the notice that application program pushes, determine the mark of described notice；
The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；
When the type of described notice is for harassing and wrecking type, described notice is intercepted.
In conjunction with first aspect, in the first possible implementation of first aspect, by the mark of described notice with logical
Before knowing that I ntercepting model carries out the type mating to determine described notice, described method also includes:
It is trained obtaining described notice I ntercepting model to the historical data of user according to default machine learning algorithm.
In conjunction with the first possible implementation of first aspect, the implementation that the second in first aspect is possible
In, the historical data of user is trained obtaining described notice I ntercepting model by the machine learning algorithm that described basis is preset,
Including:
Traversal destination application, wherein, described destination application is mounted in the application program in terminal；
Determine that in described destination application, each destination application notifies the historical data observed conditions；Wherein,
The historical data that described each destination application notice is observed conditions includes that described each destination application notice is looked into
The number of times seen and the number of times do not checked；
Number of times and the number of times do not checked checked according to described each destination application notice determine each target
The use probability of application notification；
By the mark of described each destination application and defeated with the use probability of described each destination application notice
Enter in described default machine learning algorithm to obtain described interception notification model.
In conjunction with first aspect, in the third possible implementation of first aspect, described method also includes:
When the notice that type is target type of described notice, show described notice to described user.
In conjunction with first aspect or first to the 3rd any one described possible implementation of first aspect, in first aspect
The 4th kind of possible implementation in, described method also includes:
If detecting when the notice of the application program being in intercepted state is unlocked, revise described notice I ntercepting model with
The type of the notice of the application program of interception state it is in described in change.
Second aspect present invention discloses a kind of terminal, and described terminal includes:
Determine unit, for when receiving the notice that application program pushes, determining the mark of described notice；
Matching unit, for the class carrying out with notice I ntercepting model mating to determine described notice by the mark of described notice
Type；
Interception unit, for when the type of described notice is for harassing and wrecking type, intercepting described notice.
In conjunction with second aspect, in the first possible implementation of second aspect, described terminal also includes that training is single
Unit；
Described training unit, for being trained the historical data of user according to the machine learning algorithm preset obtaining
Described notice I ntercepting model.
In conjunction with the first possible implementation of second aspect, the implementation institute that the second in second aspect is possible
State training unit to include traveling through subelement, determining subelement and obtain subelement；
Described traversal subelement, is used for traveling through destination application, and wherein, described destination application is mounted in terminal
In application program；
Described determine subelement, be used for determining in described destination application that each destination application notice is checked feelings
The historical data of condition；Wherein, the historical data that described each destination application notice is observed conditions includes described each mesh
Mark the number of times that application notification is checked and the number of times do not checked；
Described determine subelement, for the number of times checked according to described each destination application notice and do not checked
Number of times determine the use probability that each destination application notifies；
Described acquisition subelement, for by the mark of described each destination application and with described each intended application journey
The probability that uses of sequence notice is input in described default machine learning algorithm obtain described interception notification model.
In conjunction with second aspect, in the third possible implementation of second aspect, described terminal also includes that display is single
Unit；
Described display unit, for when the notice that type is target type of described notice, shows institute to described user
State notice.
In conjunction with second aspect or first to the 3rd any one described possible implementation of second aspect, in second aspect
The 4th kind of possible implementation in, described terminal also includes amending unit；
Described amending unit, if for detecting when the notice of the application program being in intercepted state is unlocked, revises
Described notice I ntercepting model is to be in the type of the notice of the application program of interception state described in change.
Third aspect present invention discloses a kind of terminal, and described terminal includes:
Storage has the memorizer of executable program code；
The processor coupled with described memorizer；
Described processor calls in described memorizer the described executable program code of storage, performs such as first aspect or the
On the one hand the first is to the method described in any one possible implementation in the 4th kind.
It can be seen that in the scheme of the embodiment of the present invention, when receiving the notice that application program pushes, determine described logical
The mark known；The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；When described logical
When the type known is for harassing and wrecking type, described notice is intercepted.It is hereby understood that by implementing the technical scheme that the present invention provides, energy
Enough identification catching rubbish notice, thus promote Consumer's Experience.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below by use required in embodiment
Accompanying drawing is briefly described, it should be apparent that, the accompanying drawing in describing below is some embodiments of the present invention, general for this area
From the point of view of logical technical staff, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The schematic flow sheet of a kind of method intercepting notice that Fig. 1 provides for the embodiment of the present invention；
The schematic flow sheet of the another kind of method intercepting notice that Fig. 2 provides for the embodiment of the present invention；
The structural representation of a kind of terminal that Fig. 3 provides for the embodiment of the present invention；
The structural representation of the another kind of terminal that Fig. 4 provides for the embodiment of the present invention；
The entity apparatus structural representation of a kind of terminal that Fig. 5 provides for the embodiment of the present invention.
Detailed description of the invention
Embodiments provide a kind of method intercepting notice and terminal, it is possible to identify and catching rubbish notice, from
And promote Consumer's Experience.
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with in the embodiment of the present invention
Accompanying drawing, is explicitly described the technical scheme in the embodiment of the present invention, it is clear that described embodiment is the present invention one
The embodiment divided rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not doing
Go out the every other embodiment obtained under creative work premise, all should belong to the scope of protection of the invention.
In description of the invention, claims and accompanying drawing, the term " first " of appearance, " second " and " the 3rd " etc. are to use
In the object that difference is different, and it is not intended to describe specific order.Additionally, term " includes " and " having " and they are any
Deformation, it is intended that cover non-exclusive comprising.Such as contain series of steps or the process of unit, method, system, product
Or equipment is not limited to step or the unit listed, but the most also include step or the unit do not listed, or can
Selection of land also includes other step intrinsic for these processes, method, product or equipment or unit.
Disclosing a kind of method intercepting notice in one embodiment of the invention, described method includes: when receiving
During the notice that application program pushes, determine the mark of described notice；The mark of described notice is carried out with notice I ntercepting model
It is equipped with the type determining described notice；When the type of described notice is for harassing and wrecking type, described notice is intercepted.
Refer to the schematic flow sheet that Fig. 1, Fig. 1 are a kind of methods intercepting notice that one embodiment of the invention provides.
Wherein, as it is shown in figure 1, a kind of method intercepting notice that one embodiment of the present of invention provides includes herein below:
S101, when receive application program push notice time, determine the mark of described notice.
The executive agent that it is pointed out that the method is terminal, such as, can be smart mobile phone, panel computer, intelligence
The electronic equipment such as Wearable, computer.
Wherein it is possible to be understood by, determine that the mark of described notice refers to determine the application program belonging to described notice.
Such as, when receiving a notice, determine the application program of sending out notice, if this application program is Baidu,
So mark of this notice is exactly the name of this application program or serial number corresponding to this application program.For example, add
The serial number that Baidu's application program is corresponding is 0001, then the mark of this notice is exactly 0001.
S102, identifying described notice and notifying that I ntercepting model carries out the type mating to determine described notice.
Wherein it is desired to it is noted that notice I ntercepting model in store in terminal install each application program title,
Mark, the type of this application notification, and the processing mode corresponding with type.
Such as, the form of storage is: music application, 0002, harassing and wrecking type, intercept；Wechat application, 0003, target
Type, show.Wherein, in notice I ntercepting model, the information of storage is a lot, numerous to list herein, to the form stored also
Do not limit.
Wherein it is desired to it is noted that carry out the mark of described notice with notice I ntercepting model mating to determine described leading to
Before the type known, described method also includes: according to default machine learning algorithm the historical data of user is trained with
Obtain described notice I ntercepting model.
Wherein, according to default machine learning algorithm, the historical data of user is trained obtain described notice to intercept
The method of model has a lot.For example, can first travel through destination application, wherein, described destination application is to install
Application program in the terminal；Determine that in described destination application, each destination application notifies the history observed conditions
Data；Wherein, the historical data that described each destination application notice is checked includes that described each destination application leads to
Know the number of times checked and the number of times do not checked；According to described each destination application number of times of being checked of notice and not by
The number of times checked determines the use probability that each destination application notifies；By the mark of described each destination application and with
The probability that uses of described each intended application journey notice is input in described default machine learning algorithm obtain described interception
Notification model.
For example, for the notice of wechat application, each user processing method to the notice that this wechat is applied is recorded,
Such as having added up 100 times, wherein user opens and has seen 80 times, and that does not see directly deletion has 20 times, then the application of this wechat
The use probability of notice is exactly 80%, if the predetermined probabilities threshold value arranged is 60%, then the notice of this wechat application is exactly
Target type.If having added up 100 times, wherein user opens and has seen 30 times, and that does not see directly deletion has 70 times, then wechat
The notice of application harasses type exactly.
S103, when described notice type for harassing and wrecking type time, by described notice intercept.
It is understood that when the notice that type is target type of described notice, show described logical to described user
Know.
Optionally, if detecting when the notice of the application program being in intercepted state is unlocked, revising described notice and blocking
Cut model to be in the type of the notice of the application program of interception state described in change.
For example, if the notice of Baidu's application correspondence is confirmed as harassing the notice of type, then Baidu's application
Notice can be intercepted every time.If be detected that user have modified the authority of Baidu's application program, refusal is accepted notice and makes into
Agree to receive the notice of application program, then terminal can revise notice I ntercepting model automatically.
The most such as, the use probability of notice of Baidu's application is 30%, and predetermined probabilities threshold value is 60%, if greater than or
Notify for target type equal to 60%, less than 60% for harassing and wrecking type notification, then the notice of now Baidu's application is harassing and wrecking class
The notice of type.If be detected that user have modified the authority of Baidu's application program, refusal is accepted notice and has made into agree to receive
The notice of application program, then terminal can revise notice I ntercepting model automatically, the use probability of Baidu is arranged on 60% or
More than 60% so that user can receive the notice of Baidu's application.But, terminal also can continue to record user couple in the future
The processing method of Baidu's application, if the use probability of the notice of Baidu's application is again less than 60%, can remind whether user intercepts
The notice of Baidu's application.
It can be seen that in the scheme of the embodiment of the present invention, when receiving the notice that application program pushes, determine described logical
The mark known；The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；When described logical
When the type known is for harassing and wrecking type, described notice is intercepted.It is hereby understood that by implementing the technical scheme that the present invention provides, energy
Enough identification catching rubbish notice, thus promote Consumer's Experience.
Refer to the flow process signal that Fig. 2, Fig. 2 are the another kind of methods intercepting notice that one embodiment of the present of invention provides
Figure.Wherein, as in figure 2 it is shown, the another kind of method intercepting notice that one embodiment of the present of invention provides can include following interior
Hold, wherein it is desired to it is noted that the executive agent of the method is terminal, such as can be smart mobile phone, panel computer, intelligence
The electronic equipment that Wearable, computer etc. are applied with music.
S201, traversal destination application.
Wherein, the application program that described destination application is mounted in terminal.
S202, determine that each destination application in described destination application notifies the historical data observed conditions.
Wherein, the historical data that described each destination application notice is observed conditions includes described each intended application
Number of times that notifications is checked and the number of times do not checked.
S203, number of times and the number of times do not checked checked according to described each destination application notice determine each
The use probability of destination application notice.
Wherein, described it is understood that such as assume that the number of times that each application notification is checked is M, do not looked into
The number of times seen is N, and the use probability of the most each application notification is M/N.
S204, by the mark of described each destination application and general with the use of described each destination application notice
Rate is input in described default machine learning algorithm obtain described interception notification model.
Wherein, described machine learning algorithm can be when the use probability M/N of each application notification is less than a certain threshold
Value then judges that user need not this applicative notifications, then shield the notice of this application.
S205, when receive application program push notice time, determine the mark of described notice.
Wherein it is possible to be understood by, determine that the mark of described notice refers to determine the application program belonging to described notice.
Such as, when receiving a notice, determine the application program being pushed to notice, if this application program is hundred
Degree, then the mark of this notice is exactly the name of this application program or serial number corresponding to this application program.For example, add
Entering serial number corresponding to Baidu's application program is 0001, then the mark of this notice is exactly 0001.
S206, identifying described notice and notifying that I ntercepting model carries out the type mating to determine described notice.
Wherein it is desired to it is noted that notice I ntercepting model in store in terminal install each application program name
Title, mark, the type of this application notification, and the processing mode corresponding with type.
Such as, the form of storage is: music application, 0002, harassing and wrecking type, intercept；Wechat application, 0003, target
Type, show.Wherein, in notice I ntercepting model, the information of storage is a lot, numerous to list herein, to the form stored also
Do not limit.
Wherein it is desired to it is noted that carry out the mark of described notice with notice I ntercepting model mating to determine described leading to
Before the type known, described method also includes: according to default machine learning algorithm the historical data of user is trained with
Obtain described notice I ntercepting model.
Wherein, according to default machine learning algorithm, the historical data of user is trained obtain described notice to intercept
The method of model has a lot.For example, can first travel through destination application, wherein, described destination application is to install
Application program in the terminal；Determine the historical data of each destination application in described destination application；Wherein, described
The historical data of each destination application include number of times that described each destination application checked and do not checked time
Number；The number of times checked according to described each destination application and the number of times do not checked determine each destination application
Use probability；By defeated to mark and the use probability corresponding with described each destination application of described each destination application
Enter in described default machine learning algorithm to obtain described interception notification model.
For example, for the notice of wechat application, each user processing method to the notice that this wechat is applied is recorded,
Such as having added up 100 times, wherein user opens and has seen 80 times, and that does not see directly deletion has 20 times, then the application of this wechat
The use probability of notice is exactly 80%, if the predetermined probabilities threshold value arranged is 60%, then the notice of this wechat application is exactly
Target type.If having added up 100 times, wherein user opens and has seen 30 times, and that does not see directly deletion has 70 times, then wechat
The notice of application harasses type exactly.
S207, when described notice type for harassing and wrecking type time, by described notice intercept.
S208, when the notice that type is target type of described notice, show described notice to described user.
If S209 detects when the notice of the application program being in intercepted state is unlocked, revise described notice and intercept
Model is to be in the type of the notice of the application program of interception state described in change.
It is understood that when the notice that type is target type of described notice, show described logical to described user
Know.
Optionally, if detecting when the notice of the application program being in intercepted state is unlocked, revising described notice and blocking
Cut model to be in the type of the notice of the application program of interception state described in change.
For example, if the notice of Baidu's application correspondence is confirmed as harassing the notice of type, then Baidu's application
Notice can be intercepted every time.If be detected that user have modified the authority of Baidu's application program, refusal is accepted notice and makes into
Agree to receive the notice of application program, then terminal can revise notice I ntercepting model automatically.
The most such as, the use probability of notice of Baidu's application is 30%, and predetermined probabilities threshold value is 60%, if greater than or
Notify for target type equal to 60%, less than 60% for harassing and wrecking type notification, then the notice of now Baidu's application is harassing and wrecking class
The notice of type.If be detected that user have modified the authority of Baidu's application program, refusal is accepted notice and has made into agree to receive
The notice of application program, then terminal can revise notice I ntercepting model automatically, the use probability of Baidu is arranged on 60% or
More than 60% so that user can receive the notice of Baidu's application.But, terminal also can continue to record user couple in the future
The processing method of Baidu's application, if the use probability of the notice of Baidu's application is again less than 60%, can remind whether user intercepts
The notice of Baidu's application.
It can be seen that the scheme of the embodiment of the present invention has expanded the step of training notice I ntercepting model, by implementing this
The technical scheme that invention provides, it is possible to accurately identify the notice of harassing and wrecking type.
Refer to the structural representation that Fig. 3, Fig. 3 are a kind of terminals that one embodiment of the present of invention provides.Wherein, such as figure
Shown in 3, one embodiment of the present of invention provide a kind of terminal 300, wherein, this terminal can be smart mobile phone, panel computer,
The equipment such as Intelligent worn device.This terminal 300 includes determining unit 301, matching unit 302 and interception unit 303.
Determine unit 301, for when receiving the notice that application program pushes, determining the mark of described notice；
Matching unit 302, for carrying out mating to determine described notice with notice I ntercepting model by the mark of described notice
Type；
Interception unit 303, for when the type of described notice is for harassing and wrecking type, intercepting described notice.
Wherein it is determined that unit 301, matching unit 302 and interception unit 303 may be used for performing step in embodiment 1
Method described in S101 to S103, specifically describes the detailed in Example 1 description to described method, does not repeats them here.
Refer to the structural representation that Fig. 4, Fig. 4 are a kind of terminals that one embodiment of the present of invention provides.Wherein, such as figure
Shown in 4, a kind of terminal 400 that one embodiment of the present of invention provides, wherein, this terminal 400 can be smart mobile phone, flat board electricity
The equipment such as brain, Intelligent worn device.This terminal 400 includes determining unit 401, matching unit 402, interception unit 403, training list
Unit 404, display unit 405 and amending unit 406.
Training unit 404, for being trained the historical data of user according to the machine learning algorithm preset obtaining
Described notice I ntercepting model；
Wherein it is desired to it is noted that training unit 404 includes traveling through subelement 4041, determining subelement 4042 and obtain
Take subelement 4043；
Traversal subelement 4041, is used for traveling through destination application, and wherein, described destination application is mounted in terminal
In application program；
Determine subelement 4042, be used for determining in described destination application that each destination application notice is checked feelings
The historical data of condition；Wherein, the historical data that described each destination application notice is observed conditions includes described each mesh
Mark the number of times that application notification is checked and the number of times do not checked；
Determine subelement 4042, for the number of times checked according to described each destination application and do not checked secondary
Number determines the use probability that each destination application notifies；
Obtain subelement 4043, for by the mark of described each destination application and with described each intended application journey
The probability that uses of the notice that ordered pair is answered is input in described default machine learning algorithm obtain described interception notification model.
Determine unit 401, for when receiving the notice that application program pushes, determining the mark of described notice；
Matching unit 402, for carrying out mating to determine described notice with notice I ntercepting model by the mark of described notice
Type；
Interception unit 403, for when the type of described notice is for harassing and wrecking type, intercepting described notice；
Display unit 405, for when the notice that type is target type of described notice, shows described to described user
Notice；
Amending unit 406, if for detecting when the notice of the application program being in intercepted state is unlocked, revises institute
State notice I ntercepting model to be in the type of the notice of the application program of interception state described in change.
Wherein it is determined that unit 401, matching unit 402, interception unit 403, training unit 404, display unit 405 and
Amending unit 406 may be used for the method in execution embodiment 2 described in step S201 to S206, specifically describes detailed in Example 2
Description to described method, does not repeats them here.
Refer to Fig. 5, in another embodiment of the present invention, it is provided that a kind of terminal.Described terminal 500 includes
CPU501, memorizer 502, bus 503, display screen 504 hardware such as grade.Wherein, this terminal 500 can be smart mobile phone, flat board electricity
The equipment such as brain, Intelligent worn device.
Wherein, CPU501 performs to be stored in advance in the program in memorizer 502, and this execution process specifically includes:
When receiving the notice that application program pushes, determine the mark of described notice；
The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；
When the type of described notice is for harassing and wrecking type, described notice is intercepted.
Optionally, by the mark of described notice with notify type that I ntercepting model carries out mating determining described notice it
Before, described method also includes:
It is trained obtaining described notice I ntercepting model to the historical data of user according to default machine learning algorithm.
Optionally, the historical data of user is trained obtaining described leading to by the machine learning algorithm that described basis is preset
Know I ntercepting model, including:
Traversal destination application, wherein, described destination application is mounted in the application program in terminal；
Determine that in described destination application, each destination application notifies the historical data observed conditions；Wherein,
The historical data that described each destination application notice is observed conditions includes what described each destination application was checked
Number of times and the number of times do not checked；
Number of times and the number of times do not checked checked according to described each destination application notice determine each target
The use probability of application notification；
By the mark of described each destination application and defeated with the use probability of described each destination application notice
Enter in described default machine learning algorithm to obtain described interception notification model.
Optionally, this execution process also includes: when the notice that type is target type of described notice, to described user
Show described notice.
Optionally, this execution process also includes:
If detecting when the notice of the application program being in intercepted state is unlocked, revise described notice I ntercepting model with
The type of the notice of the application program of interception state it is in described in change.
It can be seen that in the scheme of the embodiment of the present invention, when receiving the notice that application program pushes, determine described logical
The mark known；The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；When described logical
When the type known is for harassing and wrecking type, described notice is intercepted.It is hereby understood that by implementing the technical scheme that the present invention provides, energy
Enough identification catching rubbish notice, thus promote Consumer's Experience.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not has the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.Such as, device embodiment described above is only schematically, and the division of the most described unit is only one
Logic function divides, actual can have when realizing other dividing mode, the most multiple unit or assembly can in conjunction with or can
To be integrated into another system, or some features can be ignored, or does not performs.Another point, shown or discussed each other
Coupling direct-coupling or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit or communication connection,
Can be being electrical or other form.
The described unit illustrated as separating component can be or may not be physically separate, shows as unit
The parts shown can be or may not be physical location, i.e. may be located at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the present embodiment scheme
's.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated list
Unit both can realize to use the form of hardware, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit realizes and as independent production marketing or use using the form of SFU software functional unit
Time, can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part that in other words prior art contributed or this technical scheme completely or partially can be with the form of software product
Embodying, this computer software product is stored in a storage medium, including some instructions with so that a computer
Equipment (can be for personal computer, server or the network equipment etc.) perform the whole of method described in each embodiment of the present invention or
Part steps.And aforesaid storage medium includes: USB flash disk, read only memory (ROM, Read-Only Memory), random access memory are deposited
Reservoir (RAM, Random Access Memory), portable hard drive, magnetic disc or CD etc. are various can store program code
Medium.
The above, above example only in order to technical scheme to be described, is not intended to limit；Although with reference to front
State embodiment the present invention has been described in detail, it will be understood by those within the art that: it still can be to front
State the technical scheme described in each embodiment to modify, or wherein portion of techniques feature is carried out equivalent；And these
Amendment or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (11)
1. the method intercepting notice, it is characterised in that described method includes:
When receiving the notice that application program pushes, determine the mark of described notice；
The mark of described notice is carried out with notice I ntercepting model the type mating to determine described notice；
When the type of described notice is for harassing and wrecking type, described notice is intercepted.
A method the most according to claim 1, it is characterised in that the mark of described notice is carried out with notice I ntercepting model
Before being equipped with the type determining described notice, described method also includes:
It is trained obtaining described notice I ntercepting model to the historical data of user according to default machine learning algorithm.
Method the most according to claim 2, it is characterised in that user is gone through by the machine learning algorithm that described basis is preset
History data are trained obtaining described notice I ntercepting model, including:
Traversal destination application, wherein, described destination application is mounted in the application program in terminal；
Determine that in described destination application, each destination application notifies the historical data observed conditions；Wherein, described
The historical data that each destination application notice is observed conditions includes what described each destination application notice was checked
Number of times and the number of times do not checked；
Number of times and the number of times do not checked checked according to described each destination application notice determine each intended application
The use probability of notifications；
By mark and the use probability of the notice corresponding with described each destination application of described each destination application
It is input in described default machine learning algorithm obtain described interception notification model.
Method the most according to claim 1, it is characterised in that described method also includes:
When the notice that type is target type of described notice, show described notice to described user.
5. according to the arbitrary described method of Claims 1-4, it is characterised in that described method also includes:
If detecting when the notice of the application program being in intercepted state is unlocked, revise described notice I ntercepting model to change
The type of the notice of the described application program being in interception state.
6. a terminal, it is characterised in that described terminal includes:
Determine unit, for when receiving the notice that application program pushes, determining the mark of described notice；
Matching unit, for the type carrying out with notice I ntercepting model mating to determine described notice by the mark of described notice；
Interception unit, for when the type of described notice is for harassing and wrecking type, intercepting described notice.
Terminal the most according to claim 6, it is characterised in that described terminal also includes training unit；
Described training unit, described for the historical data of user being trained according to the machine learning algorithm preset to obtain
Notice I ntercepting model.
Terminal the most according to claim 7, it is characterised in that described training unit includes traveling through subelement, determining that son is single
Unit and acquisition subelement；
Described traversal subelement, is used for traveling through destination application, and wherein, described destination application is mounted in terminal
Application program；
Described determine subelement, for determining the historical data of each destination application in described destination application；Wherein,
The historical data of described each destination application includes number of times that described each destination application checked and is not checked
Number of times；
Described determine subelement, true for number of times and the number of times do not checked checked according to described each destination application
The use probability of fixed each destination application；
Described acquisition subelement, for by the mark of described each destination application and with described each destination application pair
The probability that uses answered is input in described default machine learning algorithm obtain described interception notification model.
Terminal the most according to claim 6, it is characterised in that described terminal also includes display unit；
Described display unit, for when the notice that type is target type of described notice, shows described logical to described user
Know.
10. according to the arbitrary described terminal of claim 6 to 9, it is characterised in that described terminal also includes amending unit；
Described amending unit, if for detecting when the notice of the application program being in intercepted state is unlocked, revises described
Notice I ntercepting model is to be in the type of the notice of the application program of interception state described in change.
11. 1 kinds of terminals, it is characterised in that including:
Storage has the memorizer of executable program code；
The processor coupled with described memorizer；
Described processor calls the described executable program code of storage in described memorizer, performs if claim 1 is to right
Require the method described in 5 any one.
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Application publication date: 20161116 |